Sync skill taxonomy Skill

Default output: return only the result, blockers, and required evidence. Omit preambles, process narration, repeated context, confidence scores, and follow-up offers. Use at most five bullets unless a required artifact or schema needs more.

Sync skill taxonomy

Keeps the skill catalog consistent: every skills/**/SKILL.md carries a metadata.category (user-invoked or model-invoked), and every user-invoked skill carries disable-model-invocation: true so its description is excluded from model routing context.

Why

Per the Agent Skills spec, every skill's name + description loads at startup for routing (~100 tokens each). disable-model-invocation: true (a Claude Code / Cursor / Pi extension, not part of the base spec) marks a skill as slash/manual-only — its description is NOT loaded for routing, saving tokens and preventing the model from auto-invoking skills meant for explicit triggers.

Drift happens: new skills land without the flag, descriptions get rewritten, trigger semantics shift. This skill re-applies the taxonomy deterministically.

When to run

After adding, renaming, or removing skills
After rewriting a skill's description
When reviewing token cost of the skill catalog at startup
When routing quality degrades (model invoking skills it shouldn't)

Classification rules

A skill is user-invoked if ANY of:

It already has disable-model-invocation: true.
Its description contains explicit-trigger language: "user explicitly", "explicitly types", "when the user says", "Use only when the user".
Its only trigger is a slash command AND it has no capability-based routing signal (the model would never reach for it from task context alone).

Otherwise it is model-invoked — the agent should be able to auto-invoke it based on task context.

Bias toward model-invoked. Flagging a skill user-only removes it from routing. Only flag when the description genuinely says "explicit/manual only". Capability skills that also mention a slash command (e.g. grill-me, architect, comprehensive-research) stay model-invoked — the model may legitimately reach for them.

Workflow

1. Classify

For each skills/**/SKILL.md, read the frontmatter and description. Apply the rules above. Produce the full mapping before editing anything.

2. Flag disable-model-invocation

For every user-invoked skill that lacks disable-model-invocation: true, add it immediately after the description: line:

---
name: some-skill
description: Use only when the user explicitly types `/some-skill`...
disable-model-invocation: true
metadata:
  ...
---

Do NOT remove the flag from skills that already have it.

3. Inject metadata.category

For every skill, ensure metadata.category is present. Two cases:

Has a metadata: block — add category: <user-invoked|model-invoked> as the first key:

metadata:
  category: user-invoked
  version: 1.0.0
  tags: ...

No metadata: block — add one after description: (or after disable-model-invocation: if present):

description: ...
metadata:
  category: model-invoked

Preserve all existing metadata keys (version, tags, author, etc.). Only add category.

4. Normalize and verify

Run the formatter — it merges legacy version/tags into metadata and preserves category:

bun run format:skills:fix

Then verify every skill has a category and the DMI set matches:

# Count by category
python3 -c "
import glob, re
for f in sorted(glob.glob('skills/**/SKILL.md', recursive=True)):
    fm = re.match(r'^---\n(.*?)\n---', open(f).read(), re.DOTALL).group(1)
    cat = re.search(r'category:\s*(\S+)', fm)
    dmi = bool(re.search(r'disable-model-invocation:\s*true', fm))
    print(f'{\"U\" if dmi else \"M\"} {cat.group(1) if cat else \"MISSING\":15s} {f}')
"

Invariants after running:

Every skill has metadata.category ∈ {user-invoked, model-invoked}.
Every user-invoked skill has disable-model-invocation: true.
No model-invoked skill has disable-model-invocation: true.

5. Build and report

bun run build

Report:

Counts: N user-invoked / M model-invoked
Changes made: how many DMI flags added, how many categories injected/updated
Estimated token savings at startup (sum of description chars for user-invoked skills ÷ 4 ≈ tokens excluded from routing)

Token-cost note

The "63% reduction" figure that circulates for disable-model-invocation is only achievable in catalogs dominated by narrow slash-only tools. In a capability-rich catalog like this one, correct classification typically saves ~10–15% of startup routing tokens. The bigger win is routing quality — the model stops auto-invoking skills meant for explicit triggers.

Provenance

Agent Skills spec: https://agentskills.io/specification (base format; name+description load at startup)
disable-model-invocation: Claude Code / Cursor / Pi extension field, recognized by this repo's formatter (scripts/lib/agent-skills.ts, EXTENSION_FRONTMATTER_FIELDS)
Classification heuristics derived from the 18 user-invoked skills in this catalog as of the initial taxonomy pass.

Agent Skills: Sync skill taxonomy

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Skill Files